Knee-Point Identification of Battery Degradation Trajectory Based on Constant Voltage Charging Capacity Variation

非线性系统 电池(电) 控制理论(社会学) 电压 常量(计算机编程) 计算机科学 电气工程 工程类 物理 功率(物理) 人工智能 热力学 控制(管理) 量子力学 程序设计语言
作者
Jianguo Chen,Tao Sun,Yuejiu Zheng,Xuebin Han
出处
期刊:SAE technical paper series
标识
DOI:10.4271/2023-01-7033
摘要

<div class="section abstract"><div class="htmlview paragraph">The turning point in the process of nonlinear aging is a key feature to identify the nonlinear aging behavior of lithium-ion batteries. In order to identify the knee-point online, this paper studies the capacity “diving” phenomenon of the battery during the experiment and the regulation of the appearance of the turning point during the nonlinear aging process. Then, a knee-point identification method based on constant voltage charging capacity is proposed, and the linear and nonlinear stages of battery decay are redefined. Based on the change of constant voltage charging capacity in the constant current and constant voltage charging strategy, the method defines the aging process in which the constant voltage charging capacity remains invariant as the linear decay stage of the battery, and the aging process in which the constant voltage charging capacity rises rapidly as the nonlinear decay stage. The intersection of linear and nonlinear decay is the knee-point of the battery’s aging trajectory. This method is tested on nickel manganese cobalt oxide (NCM) and LiFePO<sub>4</sub> batteries, and both achieve the knee-point identification very well. The method can achieve online capacity estimation without obtaining complete battery aging data.</div></div>
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